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image model · flux · iOS

FX Can I run FLUX.1 schnell on iPhone 17 Pro?

Compatibility verdict VRAM check
Yes, it runsheavy offloading

Yes. FLUX.1 schnell runs on iPhone 17 Pro at Q4 GGUF (~6.5 GB of ~8 GB usable).

Needs ~6.5 GB Device usable ~8 GB

Runs at Q4 GGUF using ~6.5 GB of ~8 GB usable.

Peak VRAM
~6.5 GB
Usable on device
~8 GB
Device memory
12 GB
Quant
Q4 GGUF

How to run it

Use ComfyUI or Draw Things at Q4 GGUF. The big text encoder is loaded to encode your prompt, then offloaded before generation, which is why peak VRAM stays near the backbone size rather than the sum of every file.

Model flux
Type
image (DIT)
Parameters
12B
Peak VRAM
~6.5 GB at Q4 GGUF
Resolution
1024×1024
License
Apache-2.0
Full FLUX.1 schnell requirements →
Device iOS
Memory
12 GB unified
Usable for weights
~8 GB
Best runtime
llama.cpp + Metal (via PocketPal or Off Grid app)
Best models for iPhone 17 Pro →

You could also run

Run FLUX.1 schnell on other hardware

FAQ

Can iPhone 17 Pro run FLUX.1 schnell?

Yes. FLUX.1 schnell runs on iPhone 17 Pro at Q4 GGUF (~6.5 GB of ~8 GB usable).

How much VRAM does FLUX.1 schnell need?

iPhone 17 Pro has room to spare. At Q4 GGUF the realistic peak is ~6.5 GB of VRAM, versus ~33 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~3 GB, much slower.

What do I use to run FLUX.1 schnell locally?

FLUX.1 schnell runs in ComfyUI or Draw Things (among others). It loads as a diffusion checkpoint plus its text encoder and VAE, not a single chat command.

Sources

VRAM figures are sourced peak-usage anchors at the noted quant, validated 2026-06-15. See methodology.